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Master Data Management in the Era of Big Data: Challenges and Opportunities

EasyChair Preprint no. 12474

7 pagesDate: March 13, 2024


In today's data-driven world, the volume, velocity, and variety of data are growing at an unprecedented rate. As organizations strive to harness the potential of big data for strategic decision-making, they are faced with the challenge of managing and integrating vast amounts of data from disparate sources. Master Data Management (MDM) has emerged as a critical discipline to address these challenges by providing a framework for consolidating, harmonizing, and governing an organization's most important data assets. This research paper explores the intersection of MDM and big data, highlighting the opportunities and challenges that arise when managing master data within the context of large-scale data environments. Through a comprehensive review of existing literature and case studies, this paper aims to provide insights into the best practices, technologies, and strategies for effectively implementing MDM in the era of big data.

Keyphrases: Challenges and, data, Opportunities

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Chris Li and Jane Smith},
  title = {Master Data Management in the Era of Big Data: Challenges and Opportunities},
  howpublished = {EasyChair Preprint no. 12474},

  year = {EasyChair, 2024}}
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